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http://dx.doi.org/10.5370/JEET.2014.9.4.1385

On-line Temperature Monitoring of the GIS Contacts Based on Infrared Sensing Technology  

Li, Qingmin (State Key Lab of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University)
Cong, Haoxi (School of Electrical Engineering, Shandong University)
Xing, Jinyuan (State Key Lab of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University)
Qi, Bo (State Key Lab of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University)
Li, Chengrong (State Key Lab of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University)
Publication Information
Journal of Electrical Engineering and Technology / v.9, no.4, 2014 , pp. 1385-1393 More about this Journal
Abstract
Gas insulated switchgear (GIS) is widely used in the power systems, however, the contacts overheating of the inside circuit breaker or disconnector may be a potential cause of developing accidents. As the temperature of the contacts cannot be directly acquired due to existence of the metallic shield, an infrared sensor is adopted to directly measure the temperature of the shield and then the contacts temperature can be indirectly obtained by data fitting, based on which the on-line temperature monitoring technology specifically for GIS contacts based on infrared sensing is proposed in this paper. A real GIS test platform is constructed and experimental studies are carried out to account for the influential factors that affect the accuracy of the infrared temperature measurement. A heat transfer model of the GIS module is also developed, together with experimental studies, the nonlinear temperature relationship among the contacts, the metallic shield and the environment based on a neural network algorithm is established. Finally, an integrated on-line temperature monitoring system for the GIS contacts is developed for on-site applications.
Keywords
GIS; Infrared sensing; Contact temperature; On-line monitoring; Neural network algorithm;
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Times Cited By KSCI : 4  (Citation Analysis)
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